add configs for train private data

configs/data/normal_largecorpus_multiview_cnsl.yaml

@@ -29,6 +29,7 @@ args:
     augmentation_methods:
       ["RawBoost12", "pitch_1", "volume_10", "speed_01", "none"] # "none" is the original data
     wav_samp_rate: 16000
+    trim_length: 64000
     online_aug: true
     aug_dir: ${oc.env:LARGE_CORPUS_FOR_CNSL}/aug
     noise_path: ${oc.env:NOISE_PATH}

configs/experiment/xlsr_conformertcm_multiview_large_corpus_conf-2.yaml

@@ -0,0 +1,48 @@
+# @package _global_
+
+# to execute this experiment run:
+# python train.py experiment=example
+
+defaults:
+  - override /data: normal_largecorpus_multiview_cnsl
+  - override /model: xlsr_conformertcm_baseline_multiview
+  - override /callbacks: default_loss
+  - override /trainer: default
+
+# all parameters below will be merged with parameters from default configurations set above
+# this allows you to overwrite only specified parameters
+
+tags: ["normal_largecorpus_multiview_cnsl", "xlsr_conformertcm_baseline_multiview"]
+
+seed: 1234
+
+trainer:
+  max_epochs: 100
+  gradient_clip_val: 0.0
+  accelerator: cuda
+
+model:
+  optimizer:
+    lr: 0.000001
+    weight_decay: 0.0001
+  net: null
+  scheduler: null
+  compile: true
+  cross_entropy_weight: [0.7, 0.3] # Balanced weights for cross entropy loss
+
+data:
+  batch_size: 14
+  num_workers: 8
+  pin_memory: true
+  args:
+    augmentation_methods: ["RawBoost12", 'RawBoost12', 'RawBoostFull', "pitch_1", "volume_10", "speed_01", "none"] # "none" is the original data
+    padding_type: repeat
+    random_start: True
+
+
+logger:
+  wandb:
+    tags: ${tags}
+    group: "normal_largecorpus_multiview_cnsl"
+  aim:
+    experiment: "normal_largecorpus_multiview_cnsl"